Senior Automation QA Engineer (#595)

Work type:
Technical Level:
Job Category:
Quality Control
Largest student transportation provider

Our customer is the leading school transportation provider in North America, being the owner of more than a half of all yellow school buses in the United States. Every day, the company completes 5 million student journeys, moving more passengers than all U.S. airlines combined and delivers reliable, quality services for 1,100 school districts. 

N-iX has built a successful cooperation with the client, delivering a range of complex initiatives. As a result, N-iX has been selected as a strategic long-term partner to drive digital transformation on an enterprise level, fully remodeling the technology landscape for 55,000 employees and millions of people across North America. 



  • Contribute to the implementation and maintenance of a robust data quality framework.
  • Perform data quality verifications on different stages of data propagations.
  • Setup automation based on data quality rules, processes, and best practices.
  • Design and implement automated tests tailored for data validation, ETL processes, data migration, and other data-related workflows.
  • Participate in implementing data quality assurance processes.
  • Monitor and report on data quality metrics.
  • Create and maintain documentation for data quality initiatives.
  • Investigate and perform root cause analysis of data-related issues, collaborating with relevant teams to determine underlying causes and implement effective solutions.
  • Work closely with data engineers, data scientists, business analysts, and stakeholders to understand project requirements, data specifications, and expectations.
  • Support team members and provide recommendations. 
  • Stay updated with the latest trends, tools, and best practices in test automation and quality assurance.

Qualifications and Skills:

  • 4+ years of Relevant work experience in data analysis, quality assurance, data governance, or a similar field is highly desirable. 
  • Experience with ETL (Extract, Transform, Load) processes and tools.
  • Experience with databases (relational and document-oriented).
  • Experience in implementing and maintaining data quality frameworks.
  • Proficiency in Python for data quality automation.
  • Strong understanding and experience of automation principles and approaches.
  • Experience in setup of automation framework and CI/CD pipelines.
  • Strong understanding of data quality principles and methodologies.
  • Ability to create comprehensive documentation.
  • Strong analytical and problem-solving skills, with an attention to detail.

Nice to have:

  • Kafka knowledge is a plus
  • Experience with AWS stack is a plus

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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